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ClawHub Agent Skills author: Roy-oss1 v1.0.0 MIT-0 14 files body ≈ 2 181 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 33/100 · Will not run — References files that are not bundled: ../lark-shared/SKILL.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
66
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: ../lark-shared/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token references/lark-im-reactions.md:123
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    "page_token": "Yhlj…xxx"
    placeholder

Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: ../lark-shared/SKILL.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: ../lark-shared/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../lark-shared/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 35 mutating operations with no state check
  • 40Consistency. Frontmatter name (lark-im) differs from the folder (feishu-lark-cli)
  • 55Failures and branches. 1 branches
  • 100Steps. 27 steps
  • 100Execution cost. Instruction body is 2181 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 93: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (11 of 12)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a coherent Lark/Feishu messaging skill, but it can read and change real chat data when authorized.
LLM: benign (high) · VirusTotal: · 29 May 2026